Journal article
Multidimensional tropical forest recovery
Science, Vol.374(6573), pp.1370-1376
2021
PMID: 34882461
Abstract
Tropical forests disappear rapidly because of deforestation, yet they have the potential to regrow naturally on abandoned lands. We analyze how 12 forest attributes recover during secondary succession and how their recovery is interrelated using 77 sites across the tropics. Tropical forests are highly resilient to low-intensity land use; after 20 years, forest attributes attain 78% (33 to 100%) of their old-growth values. Recovery to 90% of old-growth values is fastest for soil (<1 decade) and plant functioning (<2.5 decades), intermediate for structure and species diversity (2.5 to 6 decades), and slowest for biomass and species composition (>12 decades). Network analysis shows three independent clusters of attribute recovery, related to structure, species diversity, and species composition. Secondary forests should be embraced as a low-cost, natural solution for ecosystem restoration, climate change mitigation, and biodiversity conservation.
Details
- Title
- Multidimensional tropical forest recovery
- Authors
- Lourens Poorter (Corresponding Author) - Wageningen University & ResearchDylan Craven (Author) - Universidad MayorCatarina C Jakovac (Author) - Wageningen University & ResearchMasha T van der Sande (Author) - Wageningen University & ResearchLucy Amissah (Author) - Forestry Research Institute of GhanaFrans Bongers (Author) - Wageningen University & ResearchRobin Chazdon (Author) - University of the Sunshine Coast, Queensland, Tropical Forests & People Research CentreCaroline Farrior (Author) - The University of Texas at AustinStephan Kambach (Author) - Universidade Federal do Rio Grande do SulJorge A Meave (Author) - Universidad Nacional Autónoma de MéxicoSee full text of article for complete list of authors (Author)
- Publication details
- Science, Vol.374(6573), pp.1370-1376
- Publisher
- American Association for the Advancement of Science (AAAS)
- DOI
- 10.1126/science.abh3629
- ISSN
- 1095-9203
- PMID
- 34882461
- Organisation Unit
- Tropical Forests & People Research Centre; University of the Sunshine Coast, Queensland; Forest Research Institute
- Language
- English
- Record Identifier
- 99597608902621
- Output Type
- Journal article
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- Ecology
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